ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2/W3, 25-32, 2017
https://doi.org/10.5194/isprs-annals-IV-2-W3-25-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.
 
18 Aug 2017
PHOTOGRAMMETRIC 3D BUILDING RECONSTRUCTION FROM THERMAL IMAGES
E. Maset1, A. Fusiello1, F. Crosilla1, R. Toldo2, and D. Zorzetto3 1DPIA, University of Udine, Via delle Scienze, 208 – 33100 Udine, Italy
23Dflow srl, Strada Le Grazie, 15 – 37134 Verona, Italy
3AIRMAP Flight Analysis, Loc. Padriciano, 272 – 34149 Trieste, Italy
Keywords: Thermal Infrared Images, 3D Building Reconstruction, Unmanned Aerial Vehicles, Photogrammetry, Computer Vision Abstract. This paper addresses the problem of 3D building reconstruction from thermal infrared (TIR) images. We show that a commercial Computer Vision software can be used to automatically orient sequences of TIR images taken from an Unmanned Aerial Vehicle (UAV) and to generate 3D point clouds, without requiring any GNSS/INS data about position and attitude of the images nor camera calibration parameters. Moreover, we propose a procedure based on Iterative Closest Point (ICP) algorithm to create a model that combines high resolution and geometric accuracy of RGB images with the thermal information deriving from TIR images. The process can be carried out entirely by the aforesaid software in a simple and efficient way.
Conference paper (PDF, 4225 KB)


Citation: Maset, E., Fusiello, A., Crosilla, F., Toldo, R., and Zorzetto, D.: PHOTOGRAMMETRIC 3D BUILDING RECONSTRUCTION FROM THERMAL IMAGES, ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2/W3, 25-32, https://doi.org/10.5194/isprs-annals-IV-2-W3-25-2017, 2017.

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